The integration of AI agents in businesses promises unprecedented speed and efficiency, but it also raises significant concerns about reliability. A recent survey revealed that 48% of CEOs consider monitoring AI accuracy their foremost challenge. As trust has always been paramount for Salesforce, it is vital that these AI agents serve as accurate, relevant, and reliable partners.
The unpredictable nature of AI powered by large language models (LLMs) complicates this issue; while these models offer flexibility, they can also yield inconsistent outputs. To tackle this dilemma, businesses should implement a structured approach that incorporates layers of control. This includes foundational design of topics, explicit instructions akin to company policies, data grounding for verified information, context management through variables, and predictable execution via Salesforce Flows and APIs. By adopting these strategies, organizations can enhance AI reliability, resulting in fewer errors, increased customer trust, and improved business outcomes. More information is available at salesforce.com/agentforce/five-levels-of-determinism.
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